Skip to main content
Glama
dialectforge

FlowState by DialectForge

Official

link

Destructive

Connect records across projects and manage those connections; changes to a shared component alert every project tied to it.

Instructions

Link things across projects (write for add/remove; project required). Use when projects share something, e.g. several apps use one protocol: link(action="add", project="App A", link_type="uses", target_project="Owner", target_component="Wire Protocol"). Source is the project, or component="", or item_type+item_id (decision, change, learning, problem, todo). Target: target_project (+ target_component), target_type+target_id, or url (a GitHub/Linear link to keep on a record). link_type: uses, depends_on, part_of, same_as (also supersedes, subtask_of, blocks). Changes logged on a shared component alert every project linked to it (an update todo + a note in its brief). FlowState only alerts; it does not change other apps' code. remove: link_id (or the add fields). list: links of the project or of one item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoTarget: a GitHub / Linear / other https URL
noteNo
modelNoYour model name, if you know it (optional; never guessed)
actionYes
item_idNo
link_idNoremove: the link
projectNoProject name or id. Required for every write.
componentNoSource: a component of project, by name
item_typeNoSource: a record type (with item_id)
link_typeNo
target_idNo
target_typeNo
target_projectNoTarget project name or id
include_removedNo
target_componentNoTarget: a component of target_project, by name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the destructiveHint=true annotation, the description discloses a non-obvious side effect: changes on a shared component alert every linked project via an update todo plus a brief note. It also sets a clear boundary ('FlowState only alerts; it does not change other apps' code'). It stops short of describing reversibility of remove or permission needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is front-loaded with purpose and an example, then proceeds by action and field, so nothing is wasted. It is a single dense paragraph that runs long, which slightly hurts scannability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 15-parameter tool with no output schema, it covers the main add/remove/list workflows and the critical source/target/link_type semantics. It omits what list returns and a few minor flags (note, model, include_removed), leaving small gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 53% schema coverage, the description does heavy lifting: it explains source options (project, component, item_type+item_id), target options (target_project + target_component, target_type+target_id, or url) and enumerates link_type values with a GitHub/Linear url note. Some parameters (note, model, include_removed) remain unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (link) and resource (things across projects), then immediately scopes it: write for add/remove, project required. The worked example (two apps using one protocol) makes the cross-project linking use case unmistakable and distinguishes it from generic create/update siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit trigger: 'Use when projects share something, e.g. several apps use one protocol,' and enumerates the three actions (add/remove/list) with their flows. It lacks explicit when-not-to-use or named sibling alternatives, capping it below 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.